Research On Location Technology And Traffic Flow Induction Method Based On Vehicle Group Behavior

Vehicle location targeting technology has become a research hotspot due to the vigorous development of intelligent transportation systems and vehicle networking applications.During the actual operation of the transportation system,the vehicle moves at a high speed,the topology of the vehicle network changes rapidly,and the position of the vehicle is difficult to determine.All the above factors have caused the vehicle positioning technology to become the most important in the application of the vehicle network.Excellent vehicle positioning technology can ensure the safety of vehicles,and more mportantly,it can comprehensively locate the results,induce traffic group behavior,and promote the development of route planning,traffic control and vehicle networking.The Ministry of Transport has put forward the idea of deepening green transportation.At the same time,the method of traffic flow induction has received extensive attention from experts and scholars.At the same time,excellent traffic flow induction methods can not only alleviate traffic congestion,improve road traffic efficiency,but also help improve traffic management methods.Aiming at the problem of vehicle positioning and traffic flow induction,the paper first proposes a positioning technology based on vehicle group behavior situation,and then proposes a layered induced traffic around the idea of "travel route selection affecting road traffic status".The method of flow.This paper mainly studies the following aspects:(1)The application status and research status of the three aspects of intelligent traffic management system,traffic information service system and vehicle net,working system are summarized.Then analyze the existing problems and plan the research route.Next,the existing classification and performance evaluation of vehicle networking communication technology and vehicle positioning technology,as well as traffic flow inducton mechanism are analyzed.(2)The group behavior of the vehicle can accurately describe the movement law of the vehicle.Therefore,based on the behavior of the vehicle group,this paper studies the positioning of the vehicle.In the Internet of Vehicles,vehicles with a certain range of distance and strong GPS signals can use the vehicle network communication capability and the position relationship with neighbors to locate vehicles with weak GPS signals.Firstly,the vehicle destination accompanying label division algorithm is proposed,and the vehicles with the same destination are divided into the same label group.Then,a positioning algorithm based on the label division result is proposed.In the label group,the vehicles that need to be positioned are roughly sketched.Position calculation;finally,based on the calculation results,a correction algorithm for positioning results is proposed to further improve the accuracy of the positioning results.(3)The centralized traffic flow induction method has high computational complexity and large information delay.The distributed induction method has local optimal problems.This paper proposes a traffic flow layered induction method."Layered" means that the method has two levels of control centers,which plan the vehicle node travel path at the independent dispatch area level,and control the traffic flow through the domain path at the city level.The two levels work synergistically to induce traffic together.Based on this method,the traffic flow induced simulation experiment is carried out in this paper.The experimental results show that the method can balance the global flow of traffic flow and alleviate traffic congestion.